辽宁工程技术大学学报（自然科学版）2025，Vol.44Issue(2)：129-137,9.DOI:10.11956/j.issn.1008-0562.20240115
路面结构病害三维探地雷达图谱特征研究
Three-dimensional ground penetrating radar images features of pavement structure defects
摘要
Abstract
To address the challenge of interpreting map information from three-dimensional ground-penetrating radar(3D GPR)used for detecting structural defects in asphalt pavements,this study conducted field data collection on the Suiyue Expressway in Hubei using three-dimensional GPR.Combining this data with convolutional neural network(CNN)assisted manual map analysis,suspected defect locations were identified.Core samples were taken from these suspected locations to verify the accuracy of defect identification and reflection crack size calculation.The study further summarized the map features of three common types of structural defects.The results indicate that different structural defects exhibit significantly different forms in 3D GPR maps.The method of inferring reflection crack sizes based on three-dimensional maps is reliable.These research conclusions provide a reference for universal application on automatic interpretation technology of three-dimensional GPR echo maps.关键词
结构病害/三维探地雷达/图谱解译/机器学习/图谱特征Key words
structural defects/three-dimensional ground penetrating radar/map interpretation/machine learning/images features分类
交通运输引用本文复制引用
门光誉,陈维斌,徐腾飞,张伟光,佘旭晖..路面结构病害三维探地雷达图谱特征研究[J].辽宁工程技术大学学报（自然科学版）,2025,44(2):129-137,9.基金项目
国家自然科学基金项目(52278443) （52278443）
宁夏回族自治区重点研发计划项目(2021BEG02018) （2021BEG02018）
